library(tidyverse)
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library(p8105.datasets)
library(plotly)
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## layout
data(nyc_airbnb)
nyc_airbnb =
nyc_airbnb %>%
mutate(rating = review_scores_location / 2) %>%
select(
neighbourhood_group, neighbourhood, rating, price, room_type, lat, long) %>%
filter(
!is.na(rating),
neighbourhood_group == "Manhattan",
room_type == "Entire home/apt",
price %in% 100:500)
Here’s a plotly scatterplot!
nyc_airbnb %>%
mutate(text_label = str_c("Price: $", price, "\nRating: ", rating)) %>%
plot_ly(
x = ~lat, y = ~long, type = "scatter", mode = "markers",
color = ~price, alpha = 0.5, text = ~text_label
)
nyc_airbnb %>%
mutate(
neighbourhood = fct_reorder(neighbourhood, price)
) %>%
plot_ly(y = ~price, color = ~neighbourhood, type = "box") # click once to isolate out one boxplot
## Warning in RColorBrewer::brewer.pal(N, "Set2"): n too large, allowed maximum for palette Set2 is 8
## Returning the palette you asked for with that many colors
## Warning in RColorBrewer::brewer.pal(N, "Set2"): n too large, allowed maximum for palette Set2 is 8
## Returning the palette you asked for with that many colors
Here comes a bar chart
nyc_airbnb %>%
count(neighbourhood) %>%
mutate(neighbourhood = fct_reorder(neighbourhood, n)) %>%
plot_ly(x = ~neighbourhood, y = ~n, color = ~neighbourhood, type = "bar", colors = "viridis")